Adolescent ; Age Factors ; Calcium ; blood ; Child ; Child, Preschool ; Copper ; blood ; Humans ; Infant ; Iron ; blood ; Minerals ; blood ; Zinc ; blood

Nevus flammeus is a benign but cosmetically devascating congenital inalformation involving mature capillaries. The copper vapor laser is a therapeutic device which had been newly applied to this. Yellow copper vapor light is absorbed by the intraluminal oxyhemoglobulin mo ecules, leading to the destruction of blood vessels. This study was undertaken to evaluate the histobigic findings in a patient with nevus flammeus according to the sequential time after copper vapor laser therapy. The results were as followed, One hour after treatment, nonspecific damages to the epidermis and upper part of the dermis were observed. The specific damage to the vessels which showed thrombi formations and partial disruption of the vessel walls was prominent. One cay after treatment, degeneration of the epidermis and sepaiation of the dermoepidermal junction were apparent. Three days after treatment, extravasations of a small amount of erythrocytes and inflanimatory cell infiltrations were present, especially around the vessels. Seven days after treatment, the capillaries showed a deposition of fiorinoid material around themselves. Partial disappearance of the vessel walls was seen. There was hisi ologic evidence of the replacement of abnormal ectatic vessels by normal appearing vessels with small uminal diameters, surrounded by endothelial cells.
Blood Vessels ; Capillaries ; Copper* ; Dermis ; Endothelial Cells ; Epidermis ; Erythrocytes ; Humans ; Lasers, Gas* ; Nevus* ; Port-Wine Stain*

OBJECTIVES: This study was conducted to evaluate a relationship between the blood concentrations of toxic metals and the blood pressure in people living near the copper smelter. METHODS: The study included 570 adults living within 4km of the smelter. We compared systolic and diastolic blood pressure between tertiary groups for blood cadmium, mercury and lead levels, respectively. Multiple regression analysis was performed to identify risk factors affecting systolic and diastolic blood pressures. RESULTS: In male subjects, there is a significant difference in the mean of systolic and diastolic blood pressure between tertiary groups of blood cadmium and mercury levels, but in women, there was no significant difference in the mean systolic and diastolic blood pressures in all tertiary groups of heavy metals. The results of multiple regression analysis showed that age, BMI, and cadmium concentration in men were risk factors for blood pressure. CONCLUSIONS: Residents living near the Janghang smelter showed high concentrations of blood lead and cadmium, suggesting that they were exposed to high concentrations of heavy metals released from the smelter in the past. Such exposure may have caused some blood pressure increase. Especially, the concentration of cadmium in the case of men and the concentration of mercury in blood in the case of women were found to be significantly related to the increase of blood pressure. The local population should be advised to make efforts to reduce exposure to environmental contaminants, in order to minimize cardiovascular disease, and to pay close attention to any health problems possibly related to toxic metal exposure.
Adult ; Blood Pressure* ; Cadmium ; Cardiovascular Diseases ; Copper* ; Female ; Humans ; Korea* ; Male ; Metals* ; Metals, Heavy ; Risk Factors

The purpose of this study was to assess the zinc and copper status of type 2 diabetic women and to analyse the relationship among zinc and copper status, and diabetic control indices of diabetes. The mean age of diabetes was 57.9 years old. The mean duration of diabetes was 8.0 +/- 6.5 years. The mean daily energy intake of diabetes was 1562 kcal. There were no significant differences of age, BMI, %body fat, nutritional intakes, total energy intake, and energy composition from carbohydrate, protein, and fat between diabetes (n = 50) and control group (n = 68). However, both zinc intake density (4.15 mg/1000 kcal) and zinc %RDA (62.0%) of diabetes were significantly lower than control group (p < 0.05, p < 0.01, respectively). The plasma zinc level was not significantly different between diabetes and control group (90 microgram/dl, 91 microgram/dl, respectively). The proportion of diabetic women whose plasma zinc levels were lower than 76 microgram/dl (borderline zinc deficiency) was 18.8%. This was about 38% higher than control group. It has been suggested that insulin secretion might decrease in borderline plasma zinc and copper deficiency and increase in normal plasma zinc and copper status. The urinary zinc excretion was twice higher in diabetes than in control group (p < 0.001). The urinary zinc loss was positively correlated with the duration of diabetes (p < 0.05), hyperglycemia (p < 0.001) and insulin resistance (p < 0.05). These results lead us to conclude that normal blood glucose level controlled by diet therapy could improve the hyperzincuria in diabetic women.
Blood Glucose ; Copper* ; Diet Therapy ; Energy Intake ; Female ; Humans ; Hyperglycemia ; Insulin ; Insulin Resistance ; Plasma ; Zinc*

Adolescent ; Blood Cell Count ; Child ; Copper ; blood ; Electromagnetic Fields ; adverse effects ; Female ; Humans ; Iron ; blood ; Magnesium ; blood ; Male ; Students ; Trace Elements ; blood ; Zinc ; blood

The effect of the trace elements on retinopathy of prematurity (ROP) were studied. Thirty preterm infants who had potential high risk factors of ROP were selected as observation group and 18 normal infants as control groups. By using atom spectrophotometer, the contents of serum trace elements (Mg, Cu, Zn, Mn, Se) were measured and analyzed statistically. The contents of serum Zn, Cu and Se in observation group were 0.75+/-0.22, 0.41+/-0.20 and (134.07+/-71.57)x10(-3) mg/L respectively, and 0.55+/-0.12, 0.65+/-0.194 and (202.92+/-44.71)x10(-3) mg/L in control group respectively (P<0.01). The contents of Cu and Se were obviously lower and that of Zn higher in observation group than those in control group. The same results were obtained between the infants with ROP and controls (P<0.01). However, there was no significant difference in the contents of serum Mg and Mn between two groups (P>0.05). It was concluded that the contents of serum Cu and Se in preterm infants who had high risk factors of ROP were obviously lower than in the controls. The contents of serum Cu and Se in the ROP infants were also much lower while contents of Zn much higher. Attention should be paid to the detection of the trace elements in preterm infants in order to prevent the deficiencies of Cu and Se. Only in this way can we prevent the deficiencies of Cu and Se, so as to decrease the ROP risk factors and prevent the disease.
Copper/blood ; Infant, Premature/*blood ; Retinopathy of Prematurity/*blood ; Retinopathy of Prematurity/*prevention & control ; Risk Factors ; Selenium/blood ; Spectrophotometry, Atomic ; Trace Elements/*blood ; Zinc/blood

INTRODUCTIONThere has been a resurgence of interest in studies concerning the role of elements in the development and maintenance of the skeleton. The aim of the study was to assess the plasma and red blood concentrations of some elements in postmenopausal women with osteoporosis.

MATERIALS AND METHODSSeventy-seven postmenopausal women with osteoporosis aged 61 years (median interquartile range, 7.5; range, 46 to 74) and 61 age- and BMI-matched healthy postmenopausal women aged 60 years (median interquartile range, 8.0; range, 44 to 76) were included in the study. Element concentrations in plasma and red blood cells including magnesium (Mg), zinc, copper, manganese, and selenium were measured by atomic absorption spectrophotometry in both postmenopausal women with osteoporosis and healthy postmenopausal women.

RESULTSOnly statistically significant difference between the osteoporotic (51.51 [15.40] microg/mL) and healthy subjects (54.54 [15.42] microg/mL) was observed in red blood cell (RBC) magnesium concentration (Z=-2.07, P=0.039). However, no significant difference was found between patient and control groups, both in plasma and in red blood concentrations, for zinc, copper, manganese, and selenium.

CONCLUSIONMg levels in red blood cells are significantly lower in postmenopausal women with osteoporosis. It is concluded that Mg transport mechanism(s) into the cell could be affected in patients with osteoporosis.

Aged ; Bone Density ; Case-Control Studies ; Copper ; blood ; Female ; Humans ; Magnesium ; blood ; Manganese ; blood ; Middle Aged ; Osteoporosis, Postmenopausal ; blood ; physiopathology ; Risk Factors ; Selenium ; blood ; Turkey ; Zinc ; blood

OBJECTIVETo investigate the levels and differences of plasma selenium, manganese, iron, copper, zinc among oldest elderly in longevity areas in China.

METHODS446 oldest elderly including 208 centenarians, 238 aged 90 and over, who lived in Xiayi county of Henan province (110 persons), Zhongxiang city of Hubei province (111 persons), Mayang county of Hunan province (60 persons), Sanshui district of Guangdong province (113 persons), Yongfu county of Guangxi Zhuang autonomous region (52 persons) in China, were selected. The contents of plasma selenium, manganese, iron, copper, zinc were detected and compared among these elderly who were classified into different genders, different regions and different age groups.

RESULTSIn oldest elderly, the median (inter-quartile range) of content of plasma selenium was 1.44 (0.91) micromol/L, content of manganese was 0.54 (0.94) micromol/L, content of iron was 69.17 (102.85) micromol/L, content of copper was 20.19 (8.73) micromol/L, content of zinc was 31.66 (32.51) micromol/L. Contents of plasma selenium of oldest elderly in Xiayi, Zhongxiang, Mayang, Sanshui, Yongfu region were 1.46 (0.66), 1.30 (0.80), 1.06 (0.51), 2.39 (1.53) and 1.35(0.55) micromol/L; contents of plasma manganese were 0.56 (0.51), 1.40 (1.11), 0.35 (0.71), 0.44 (0.55) and 0.15 (0.21) micromol/L; contents of plasma iron were 86.77 (86.87), 141.42 (101.83), 38.88 (36.28), 31.38 (46.19) and 79.64 (75.34) micromol/L; contents of plasma copper were 22.16 (8.11), 19.46 (9.26), 21.36 (12.38), 18.12 (6.74) and 21.47 (7.85) micromol/L; contents of plasma zinc were 36.85 (26.18), 36.59 (35.94), 39.98 (56.91), 25.05 (24.92) and 16.74 (16.81) micromol/L. Contents of plasma trace elements among oldest elderly in different longevity areas were significantly different (F values were 29.76, 38.75, 47.18, 11.51 and 13.47, P values were all less than 0.05). Contents of plasma trace elements in different gender groups (contents of plasma selenium were 1.38 (0.83) micromol/L in male and 1.45 (0.91) micromol/L in female; contents of plasma manganese were 0.52 (0.95) and 0.54 (0.91) micromol/L; contents of plasma iron were 69.23 (104.06) and 69.11 (101.05) micromol/L; contents of plasma copper were 20.28 (8.72) and 20.06 (8.76) micromol/L; contents of plasma zinc were 28.39 (32.58) and 31.85 (34.26) micromol/L) were not significantly different (t(Se) = -1.82, P = 0.07; t(Mn) = 0.64, P = 0.52; t(Fe) = 0.65, P = 0.52; t(Cu) = -1.90, P = 0.06; t(Zn) = -0.96, P = 0.34). The contents of plasma selenium, iron, copper in centenarians were higher than those aged 90 and over (contents of plasma selenium were 1.63 (0.94) micromol/L and 1.30 (0.82) micromol/L, contents of plasma iron were 112.63 (119.78) and 60.13 (58.43) micromol/L, contents of plasma copper were 21.07 (9.03) and 18.81 (8.86) micromol/L, F value were 41.99, 27.32, 24.45, P values were less than 0.01). Content of plasma manganese in centenarians was lower than those aged 90 and over (0.44 (0.76) and 0.64 (0.93) micromol/L, F = 10.76, P < 0.01). No significant differences were detected in plasma zinc between concentration and those aged 90 and over (31.78 (34.06) and 31.11 (33.85) micromol/L; F = 1.32, P = 0.25).

CONCLUSIONThe concentrations of plasma selenium, manganese, iron, copper and zinc were high in oldest elderly in the longevity areas. The contents of plasma selenium, iron, copper increased with age.

Aged, 80 and over ; China ; Copper ; blood ; Female ; Humans ; Iron ; blood ; Longevity ; Male ; Manganese ; blood ; Plasma ; chemistry ; Selenium ; blood ; Trace Elements ; blood ; Zinc ; blood

OBJECTIVETo investigate the level of zinc (Zn) and copper (Cu) in whole blood among general population from 8 provinces in China, and to analyze the characteristics of distribution among different regions.

METHODSThis cross-sectional study was performed in 8 provinces from eastern, middle and western China between 2009 and 2010, including 13 110 subjects from 24 regions, and the blood and urine samples were collected. The ICP-MS was applied to test the content of ICP-MS in blood samples, and the results were used to analyze the characteristics of contents and distributions of Zn and Cu among population from different ages, genders and regions groups.

RESULTSTotally, the mean (95%CI) contents of Cu and Zn in blood were 795 (791-799)µg/L and 3 996(3 976-4 015) µg/L, respectively. The characteristics of distribution of Cu content were as followed, the content of males were lower than it of females (male:767 µg/L; female: 822 µg/L, t = -13.302, P < 0.01). The contents of blood Cu in groups of people aging 6-12, 13-16, 17-20, 21-30, 31-45 and 46-60 years old were separately 860(853-868), 758(748-769), 734(728-734), 782(774-790), 811(795-827) and 820(815-826) µg/L. The differences showed statistical significance (F = 78.77, P < 0.01). The blood Cu content of people in eastern China (800µg/L) were also significantly higher than it in middle (774 µg/L)and western China (782 µg/L) (F = 10.94, P < 0.01). Distribution of blood Zn content showed characteristics as follows: the Zn content was higher in males than in females (male 4 085 µg/L and female 3 908 µg/L, t = 8.78, P < 0.01). The contents of blood Zn in groups of people aging 6-12, 13-16, 17-20, 21-30, 31-45 and 46-60 years old were separately 3 306 (3 261-3 350), 3 888 (3 839-3 937), 3 948 (3 902-3 994), 4 272(4 228-4 315), 4 231(4 180-4 281) and 4 250 (4 205-4 294)µg/L, which showed significant statistical differences (F = 233.68, P < 0.01). The blood Zn content of people in eastern China (3 938 µg/L) were significantly lower than it in middle (4 237 µg/L)and western China (4 105 µg/L) (F = 53.16, P < 0.01). In addition, the study also compared the relation between content of Cu and Zn and the frequency of eating seafood. The results found that the frequency of eating seafood could influence the content of Cu and Zn (Cu: F = 13.54, P < 0.01; Zn: F = 200.20, P < 0.01).

CONCLUSIONThe contents and distributions of Cu and Zn in blood differs among people from different groups in ages, genders and regions. The baseline data of this study provided reliable scientific evidence for further research.

Adolescent ; Adult ; Child ; China ; epidemiology ; Copper ; blood ; Cross-Sectional Studies ; Female ; Humans ; Male ; Middle Aged ; Young Adult ; Zinc ; blood

Support vector machine (SVM) has shown its excellent learning and generalization ability for the binary classification of real problems and has been extensively employed in many areas. In this paper, SVM, K-Nearest Neighbor, Decision Tree C4.5 and Artificial Neural Network were applied to identify cancer patients and normal individuals using the concentrations of 6 elements including macroelements (Ca, Mg) and microelements (Ba, Cu, Se, Zn) in human blood. It was demonstrated, by using the normalized features instead of the original features, the classification performances can be improved from 91.89% to 95.95%, from 83.78% to 93.24%, and from 90.54% to 94.59% for SVM, K-NN and ANN respectively, whereas that of C4.5 keeps unchangeable. The best average accuracy of SVM with linear dot kernel by using 5-fold cross validation reaches 95.95%, and is superior to those of other classifiers based on K-NN (93.24%), C4.5 (79.73%), and ANN (94.59%). The study suggests that support vector machine is capable of being used as a potential application methodology for SVM-aided clinical cancer diagnosis.
Algorithms ; Barium ; blood ; Calcium ; blood ; Computational Biology ; methods ; Copper ; blood ; Diagnosis, Computer-Assisted ; methods ; Humans ; Neoplasms ; blood ; diagnosis ; Neural Networks (Computer) ; Trace Elements ; blood